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Papers tagged with "Feature Selection"
LIVING PASSPORT BY TWO LEVEL AUTHENTICATION USING IRIS AND CRYPTOGRAPHIC IN NATIONAL BORDER
It Is A Security Based Concept In The Fields Where We Are Using Our Iris Recognition. Problems Being Faced By The People Living Near The International Border And The Line Of Control (LoC) In Jammu And Kashmir. Additionally, Cultural Radical...
FEATURE SELECTION TECHNIQUES AND CLASSIFICATION ALGORITHMS
World Wide Web Has Led To An Immense Growth Of Information. So More Information Is Stored In Text Form. Text Mining Has Gained More Importance With The High Availability Of Information From Different Sources, Automatic Categorization Of Doc...
A RESULT ON: TEXT CATEGORIZATION USING SUPPORT VECTOR MACHINE
With The Increase In Use Of Internet And Development Of Digital Technology, Data Has Increased By Many Folds. Information In Raw Or Unorganized Form (such As Alphabets, Numbers Or Symbols) That Refer To, Or Represent, Conditions, Ideas, Or...
ENVIRONMENTAL PREDICTION SYSTEM USING NAÏVE BAYES’ CLASSIFIER
Feature Selection Is A Key Pre-preparing Procedure For Choosing More Pertinent Highlights And Destroying The Repetitive Qualities. Finding The More Important Highlights For The Objective Is A Fundamental Movement To Enhance The Prescient Ex...
object detection in an image using Machine learning
In This Nimble And Fast Growing Era, It Is Very Necessary To Complete The Work In An Expeditious Manner. Machine’s Plays A Vital Role For Giving Accurate Output Every Time. But However, Training Of Machine Is Very Important In Order To Get...
Automatic Emotion Recognition using Hybrid Feature Extraction and DEEP Learning with EEG Signals
Automatic Emotion Recognition Is One Of The Most Challenging Tasks. It Is An Important Task For Computer To Understand The Human Status In Brain Computer Interface (BCI) Systems. Recently, Recognition Of Human Emotions Via Physiological Sig...
A SURVEY ON: CLASS SPECIFIC CATEGORIZATION USING SUPPORT VECTOR MACHINE FEATURES FOR TEXT CATEGORIZATION
With The Increase In Use Of Internet And Development Of Digital Technology, Data Has Increased By Many Folds. Information In Raw Or Unorganized Form (such As Alphabets, Numbers Or Symbols) That Refer To, Or Represent, Conditions, Ideas, Or...
A META-HEURISTIC METHOD TO FEATURE SELECTION BY MEANS OF HARMONY SEARCH
Most Of The Real World Applications Deal With Large Amounts Of Data That May Be In Gigabytes Or Terabytes. When We Come To Analyze This Type Of Data It Is Not So Easy, Some Practical Problems Arise (i.e. Curse Of Dimensionality) , So Here W...
A SURVEY ON DATA MINING FEATURE SELECTION APPROACHES TOWARDS BREAST CANCER
This Paper Shows A Review On Medicinal Picture Selection Data Mining Techniques. In Therapeutic Field There Are Various Types Of Issue In Medicinal Imaging Like Characterization, Segmentation, Extraction And Selection. Medical Datasets Are...
DIMENSION REDUCTION METHODOLOGY USING GROUP FEATURE SELECTION
Feature Selection Has Become A Remarkable Research Topic In Recent Years. It Is An Efficient Methodology To Tackle The Information With High Dimension. The Underlying Structure Has Been Neglected By The Previous Feature Choice Technique And...
SURVEY ON FEATURE SELECTION FOR TEXT CLASSIFICATION
Machine Learning For Text Classification Is The Foundation Of Document Classification, News Filtering, Document Routing, And Personalization. Text Classification Is Continuing To Be A Standout Amongst The Most Researched NLP Issues Due To T...
SOFT SET BASED INTRUSION DETECTION SYSTEM ARCHITECTURE USING GENETIC ALGORITHM
IDS Is The System Which Identifies Malicious Activity On The Network. As The Internet Volume Is Increasing Rapidly, Security Against The Real Time Attacks And Their Fast Detection Issues Gain Attention Of Many Researchers. Approaches Of...
A REVIEW ON INTRUSION DETECTION SYSTEM IN DATA MINING
With The Development Of Network Technology, Nowadays More And More People Learn Various Ways Of Attack Through The Rich Network Resources, And Carry Out Extremely Destructive Attack Through Simple Operation. In Recent Years, The Amount...
AN APPROACH TO MULTICLASS TEXT CLASSIFICATION
Text Categorization Is The Task Of Arranging A Set Of Documents Into Preordained Categories. This Has Several Applications Including Spam Filtering, Email Filtering, Authorship Attribution, Content Classification And News Monitoring Etc...
USING DATA REDUCTION TECHNIQUES FOR EFFECTIVE BUG TRIAGE
An Automatic Bug Triage Process Is An Inevitable Step To Fix The Software Bugs. To Decrease The Manual And Time Cost, Text Classification Techniques Are Applied To Perform The Automatic Bug Triage. The Main Goal Of Essential Bug Triaging...